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After the patterns have been compiled, the TokType enumeration is created It defines the token types that correspond to the patterns and links each pattern to its type This linkage of pattern with type shows the power of Java enumerations, which are class types rather than simple lists of named integers (as they are in several other computer languages) The patterns array holds a list of TokType objects that specify what types of tokens will be obtained by the tokenizer The order of the types in the array specifies the order in which Tokenizer searches for a token Because the order in which the search is conducted can matter (for example, you must look for <= before you look for <), you must take care to order this array properly In all cases, the last two entries in the array must be END and UNKNOWN Next, the Token class is defined This nested class is not technically necessary, but it allows a token and its type to be encapsulated within a single object The curTok variable, which is an instance of Token, holds the most recently obtained token A reference to it is returned by getToken( ) Technically, curTok is not necessary because it would be possible to simply construct a new Token object for each token obtained, and have getToken( ) return the new object However, when tokenizing a very large string, a large number of objects would be created and then discarded This would result in additional garbage collection cycles By using only one Token object, this potential inefficiency is eliminated The one-parameter Tokenizer constructor creates a tokenizer that handles regular English text by reducing it to words, punctuation, and numbers The string to be tokenized is passed to the constructor It assigns to patterns an array that handles these simple text elements The two-parameter constructor allows you to specify an array of TokType that will be assigned to patterns This enables you to configure a tokenizer that will handle different types of input In TokenizerDemo, the progToks array is constructed in such a way that a subset of the Java language can be tokenized Other types of tokenizers can be created by specifying a different TokType array One other point: Notice that this constructor always adds END and UNKNOWN on to the list of token types This is necessary to ensure that getToken( ) finds the end of the string and that it returns UNKNOWN when it can t find any of the patterns The getToken( ) method obtains the next token in the string It will always succeed because the token will be END when the end of the string has been reached and UNKNOWN if no matching token is found Notice that getToken( ) skips any leading whitespace Normally, tokens don t include whitespace, so getToken( ) simply discards it To use the tokenizer, first create a Tokenizer that searches for the tokens that you desire Next, set up a loop that calls getToken( ) on the tokenizer until the end of the string is reached When this occurs, the type of the token returned will be EOS In the program, this procedure is demonstrated by the TokenizerDemo class An unknown token can either be ignored (as it is in the example) or treated as an error condition.

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As mentioned, when tokenizing based on delimiters you can use StringTokenizer (now deprecated), StreamTokenizer, Scanner, or the split( ) method If your input can be tokenized based on delimiters, then these offer effective solutions that are easy to implement

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As the preceding examples have shown, pattern-based tokenizing can be efficiently implemented by employing the Pattern and Matcher classes defined by the regular expression API This is the approach that I prefer However, other approaches are possible One alternative is based on the Scanner class Scanner can be used for pattern-based tokenizing by employing its findWithinHorizon( ) method to obtain a token As mentioned earlier, Scanner normally tokenizes based on delimiters However, the findWithinHorizon( ) method ignores the delimiters and attempts to find a match to the regular expression that you pass as an argument The match is attempted within a specified portion of the input string, which can be the entire string if necessary Although this approach works, Matcher offers a cleaner, more direct approach (Of course, if you want to alternate between tokenizing based on delimiters and tokenizing based on patterns, then using Scanner might be the perfect solution) Pattern-based tokenizing can also be implemented by hand, in which the string is scanned character by character, and the tokens are constructed one character at a time This was the approach often used prior to the availability of the regular expression API For some cases, it still might be the most efficient approach However, regular expressions offer substantially more compact, maintainable code Be default, the entire string passed to Matcher will be searched for a match However, you can restrict the search to a smaller region by calling region( ), shown here: Matcher region(int begin, int end) The index to begin searching is passed via begin The search stops at end 1 You can obtain the current search limits by calling regionStart( ) and regionEnd( )

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Type fonts in the document to Type 1 fonts If there are no TrueType fonts in the PDF document, this option is dimmed out

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